Employment and unemployment

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  • Articles and reports: 41-20-00022024002
    Description: This article uses 12 months of data from the Labour Force Survey (LFS) and LFS supplement for 2022, and the 2016 General Social Survey on Canadians at Work and Home to explore several quality of employment indicators based on Statistics Canada's Statistical Framework on Quality of Employment among the core working age First Nations people living off reserve and Métis (18 to 64 years), in the 10 provinces.
    Release date: 2024-04-30

  • Articles and reports: 36-28-0001202100900002
    Description:

    In Canada, the gender wage gap continues to persist and nearly two-thirds of the gap was still unexplained by standard factors such as level of education, job attributes, proportions of women and men in higher-paying occupations or industries, and demographics. This points to a continued need for analysis in this area in order to better understand gender-based wage disparity, including gender-related biases in career advancement. Using new content developed in the 2016 General Social Survey (GSS Cycle 30): Canadians at Work and Home, this study investigates the possible existence and magnitude of gender-related biases in career advancement that may prevent women from advancing in their careers.

    Release date: 2021-09-22
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  • Articles and reports: 41-20-00022024002
    Description: This article uses 12 months of data from the Labour Force Survey (LFS) and LFS supplement for 2022, and the 2016 General Social Survey on Canadians at Work and Home to explore several quality of employment indicators based on Statistics Canada's Statistical Framework on Quality of Employment among the core working age First Nations people living off reserve and Métis (18 to 64 years), in the 10 provinces.
    Release date: 2024-04-30

  • Articles and reports: 36-28-0001202100900002
    Description:

    In Canada, the gender wage gap continues to persist and nearly two-thirds of the gap was still unexplained by standard factors such as level of education, job attributes, proportions of women and men in higher-paying occupations or industries, and demographics. This points to a continued need for analysis in this area in order to better understand gender-based wage disparity, including gender-related biases in career advancement. Using new content developed in the 2016 General Social Survey (GSS Cycle 30): Canadians at Work and Home, this study investigates the possible existence and magnitude of gender-related biases in career advancement that may prevent women from advancing in their careers.

    Release date: 2021-09-22
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